Gender diversity and healthcare performance: A quantitative analysis from the Italian health system
D. Trinchese,
M. Vainieri and
P. Cantarelli
Health Policy, 2024, vol. 146, issue C
Abstract:
Unlike many other industries, which are characterized by a more significant presence of men than women, the healthcare sector has a clear majority of women. However, even if at the non-executive level, the percentage of women is extremely higher than that of men, at the executive level, this percentage is completely overturned, generating the so-called glass ceiling effect. Despite extensive research on gender diversity and its impact on financial metrics, few studies have focused on clinical measures. To bridge this research gap, the article analyzes the relationship between gender diversity and healthcare metrics. We developed an econometric model for unbalanced panel data by performing a random effect and a quantile regression analysis, which test the relationship between gender diversity and the average length of stay (LOS), controlling for structural and clinical metrics. We find that, in general, a higher percentage of women in non-executive positions is related to an increase in LOS. Conversely, a higher rate of women in executive positions is related to a lower level of LOS. Empirical evidence supports the relevance of including human resources strategies to increase the number of women at executive managerial positions. However, the study highlights also the necessity to consider how to make the public health sector positions more appealing for men.
Keywords: Gender diversity; Healthcare; Performance; Average length of stay (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0168851024001271
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:hepoli:v:146:y:2024:i:c:s0168851024001271
DOI: 10.1016/j.healthpol.2024.105117
Access Statistics for this article
Health Policy is currently edited by Katrien Kesteloot, Mia Defever and Irina Cleemput
More articles in Health Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu () and ().